Web-user identification is a hot topic of research on the brink of sequential pattern mining and behavioural psychology. Here we try to identify a user on the Internet tracking his/her sequence of attended Web pages. The algorithm to be built will take a webpage session (a sequence of webpages attended consequently by the same person) and predict whether it belongs to Alice or somebody else. The data is forked from [Open Data Science][1] and comes from Blaise Pascal University proxy servers. Paper "A Tool for Classification of Sequential Data" by Giacomo Kahn, Yannick Loiseau and Olivier Raynaud. [1]: https://www.kaggle.com/c/catch-me-if-you-can-intruder-detection-through-webpage-session-tracking